The Experience API (xAPI) allows us to collect data about any type of learning experience or activity, but does that mean we should? Should we generate massive amounts of xAPI data for every possible type of interaction and then expect to make sense of it all later? This approach can be costly in terms of data storage, but also in terms of your time.
Learning analytics has the potential to assist instructors in the development of personalized learning at scale and to contribute to more equitable and socially just academic outcomes.
Institutions are at different stages of the learning analytics journey; while some may have infrastructure and processes in place, others may be unsure of where to start or how to use the data produced by their current systems
In order not to fail, it is necessary to have a clear vision of what you want to achieve with learning analytics, a vision that closely aligns with institutional priorities.